pseudocount: Add pseudocounts to a paired comparison matrix
In Selbosh/scrooge: Statistical modelling of heterogeneous citation networks

Description Usage Arguments Details Value See Also Examples

Allows fitting BradleyTerry() models with parameters equal to damped Scroogefactor()s.

1	pseudocount(X, alpha = 0.85)

`X`	a square matrix of paired comparison data
`alpha`	a damping factor between 0 and 1

Eigenvector estimators can be used to compute Bradley–Terry scores. But a damped PageRank uses a modified probability transition matrix dependent on a parameter, alpha.

a matrix in the same form as X, with pseudocounts added

BradleyTerry()

Other Bradley-Terry model utility functions: BradleyTerry, hessianBT, loglikelihood, vcovBT

SF <- Scroogefactor(citations, alpha = 0.85)
citations_pseudo <- pseudocount(citations)
BT_pseudo <- BTscores(citations_pseudo)
plot(SF, BT_pseudo); abline(0, 1)